扩展黑启动策略中被启动机组启动顺序优化决策

Optimal Decision-Making of Start-Up Sequence for Units to be Started during Extended Black-Start Strategy

为研究扩展黑启动策略中被启动机组的启动顺序问题,首先从机组恢复全过程的角度全面分析了影响其启动顺序的因素,将定性因素以三角模糊数量化表示,建立了机组启动的模糊多属性群决策模型;然后根据专家个体重要性及其决策信息与专家群体意见的相似度计算得到专家个体综合权重,通过集结专家个人决策信息,将机组启动的模糊多属性群决策问题转化为模糊多属性决策问题;在此基础上采用基于三角模糊数的逼近理想解法求解得到各被启动机组最优的启动顺序。新英格兰10机39节点系统算例分析表明,该方法能够有效地对多台被启动机组的启动顺序进行排序,为调度决策人员提供科学合理的决策辅助信息。

In order to determine the units＇ start-up sequence during extended black- start strategy, in this paper,the factors that affect start-up sequence were fully considered from the perspective of whole recovery process firstly, the qualitative factors were quantified by triangular fuzzy numbers and a fuzzy multi-attribute group decision model was established; then the comprehensive weight of expert was calculated by integrating individual authority and the consistency of individual decision information with expert group decision information, the fuzzy multi-attribute group decision making problem for units＇ start-up was transformed into fuzzy multi-attribute decision problem by integrating all expert decision information; on this basis, the TOPSIS based on triangular fuzzy number was proposed to determine the optimal start-up sequence. The test results on the New England 10-unit 39-bus power system indicated that units＇ start-up sequence during extended black-start can be optimized effectively by the proposed method, it could provide scientific and reasonable auxiliary information for dispatchers to make decisions.